Residual

Residual

9th - 12th Grade

10 Qs

quiz-placeholder

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Residual

Residual

Assessment

Quiz

Mathematics

9th - 12th Grade

Practice Problem

Hard

CCSS
8.EE.C.8C, HSS.ID.C.9, 8.EE.B.5

+5

Standards-aligned

Created by

Matt Schwarzentraub

Used 4+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

The scatter plot shows the number coffee shops in different cities and the number of violent crimes. Which of the following is NOT true?

A) As the number of coffee shops increase, violent crimes appears to increase.

B) The line of best fit (regression line) shows a positive correlation

C) The data has a positive correlation coefficient

D) An increase in coffee shops causes an increase in violent crimes

Tags

CCSS.HSS.ID.C.9

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 140 pages. 

12 chapters

19 chapters

14 chapters

21 chapters

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

Which line is the best line of best fit?

a

b

c

i don't see any lines

Tags

CCSS.8.EE.B.5

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

The scatterplot shows the number of people in each of 8 different households and the average amount of money each household spent on groceries. Based on the scatterplot, what is the best prediction of the average amount of money spent on groceries for a household that has 7 people?

$240

$190

$210

$300

Tags

CCSS.HSF.BF.A.2

5.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

How do you calculate a residual?

actual-predicted

predicted-actual

Tags

CCSS.HSS.ID.B.6B

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

A correlation of -.32 represents a:

strong positive relationship

strong negative relationship

weak negative relationship

weak positive relationship

Tags

CCSS.HSS.ID.B.5

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Data was collected on the weight of a male  laboratory rat for the first 25 weeks after its birth. The linear regression equation is 
y= 40x+100, where x is number of weeks and y is weight in grams. 
What does the y-intercept mean in context of the problem?

The predicted weight of the rat in year 0. 
The predicted weight of the rat at birth. 
The current weight of the rat. 
The average increase in the rat's weight. 

Tags

CCSS.HSF.LE.B.5

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